I am running an OLS regression in R studio but my variables have different scales. For example variables such as my dependent variable is the log return of a stock index(too small) and my covid and vaccination variables are too big. Is there any way I can report my results in a more readable form, I mean avoiding all those e- values.
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -9.424e-05 3.076e-04 -0.306 0.759413
DummyFinancial -1.604e-03 9.691e-04 -1.655 0.098554 .
DummyLock 9.241e-04 1.030e-03 0.898 0.369870
DummyHousehold 3.465e-03 9.327e-04 3.715 0.000227 ***
DummyTravel -3.430e-03 1.245e-03 -2.755 0.006084 **
DummyHealth -8.503e-05 8.198e-04 -0.104 0.917433
Covid.Cases -1.080e-07 1.079e-07 -1.001 0.317370
Deaths 2.348e-05 4.823e-05 0.487 0.626697
Hospitalizations 4.646e-06 1.410e-05 0.329 0.741987
Vaccination 3.089e-08 2.175e-08 1.420 0.156235
stringency 1.707e-04 1.361e-04 1.254 0.210337
STOXX50E 4.687e-01 8.725e-02 5.372 1.21e-07 ***
GDAXI 6.040e-02 8.517e-02 0.709 0.478556
EXRUSA 1.806e-01 9.939e-02 1.817 0.069776 .
EXREU 1.322e-01 1.292e-01 1.023 0.306742
Volatility.Germany -1.779e-02 5.370e-03 -3.313 0.000994 ***
I tried to standardize my variables with the Z-score, but as soon as I did it my constant become as follows:
**(Intercept) 4.3181e-16 1.9641e-02 0.0000 1.000000**